Learning logical Pauli noise in quantum error correction

Understand

The characterization of quantum devices is crucial for their practical implementation but can be costly in experimental effort and classical postprocessing.

• Therefore, it is desirable to measure only the information that is relevant for specific applications and develop protocols that require little additional effort.
• In this work, we focus on the characterization of quantum computers in the context of stabilizer quantum error correction.
• For arbitrary stabilizer codes, subsystem codes, and data syndrome codes, we prove that the logical error channel induced by Pauli noise can be estimated from syndrome data under minimal conditions.